INIS
dynamics
100%
frequency control
100%
performance
100%
learning
100%
lyapunov method
66%
impedance
66%
errors
66%
control
33%
convergence
33%
weight
33%
feedback
33%
inverters
33%
optimization
33%
information
33%
neural networks
33%
comparative evaluations
33%
approximations
33%
nonlinear problems
33%
transmission lines
33%
disturbances
33%
cost
33%
synchronization
33%
Engineering
Performance Function
100%
Learning Approach
100%
Reinforcement Learning
100%
Microgrid
100%
Non-Linear Dynamic
33%
Estimation Error
33%
System Parameter
33%
Critic Network
33%
Model Parameter
33%
Nominal Frequency
33%
Resistive
33%
Frequency Error
33%
Control Scheme
33%
Closed Loop
33%
Load Impedance
33%
Boundedness
33%
Parameter Uncertainty
33%
Inverter
33%
Electric Lines
33%
Feedback Control System
33%
Error Dynamic
33%
Priori Information
33%